Onur Celik

According to our database, Onur Celik authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning.

Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palanicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

CoRR, February, 2025

2024

MaIL: Improving Imitation Learning with Mamba.

Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2024

Variational Distillation of Diffusion Policies into Mixture of Experts.

Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MuTT: A Multimodal Trajectory Transformer for Robot Skills.

Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts.

Onur Celik, Aleksandar Taranovic, Gerhard Neumann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MP3: Movement Primitive-Based (Re-)Planning Policy.

Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curriculum-Based Imitation of Versatile Skills.

Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Deep Black-Box Reinforcement Learning with Movement Primitives.

Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2022

2021

Specializing Versatile Skill Libraries using Local Mixture of Experts.

Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics.

Onur Celik, Hany Abdulsamad, Jan Peters

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019